As the same setting with multi-product retrieval task, We also perform the identical-product retrieval on all the compared methods and our EGE-CMP model.
Table REF  presents the experimental results.
These results indicate that performances of all methods have a slight improvement due to the limited number of the gallery set.
Meanwhile, compared with multi-product retrieval, the performances of the multi-modal pretraining models, i.e., ViLBert [1]}, UNITER [2]}, CAPTURE [3]} and so on, are much closer, which indicates that identical product retrieval is a more difficult task.
In both mAP and Prec metrics, our EGE-CMP still obtains the best performance.
It can effectively prove that the commonsense words or phrases existing in caption data are beneficial to performance improvement.
